Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198235BB26722B8B843DB91EEB7383D56B2D2489DF8C74410B5C95ACD23C3C916197BB4 |
|
CONTENT
ssdeep
|
768:aN+EsZx8/G8S4HDawAM2BewaM2BXwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aN+EsZ/8lHDawAM2BewaM2BXwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83893c3c766c3c3 |
|
VISUAL
aHash
|
c3838383ffffffff |
|
VISUAL
dHash
|
1737373717153519 |
|
VISUAL
wHash
|
81818181c3d7dfdf |
|
VISUAL
colorHash
|
060000005c0 |
|
VISUAL
cropResistant
|
1737373717153519,6464ab2323eba3a2,fff3f2faf3f2e6ff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 17 techniques to evade detection by security scanners and make reverse engineering more difficult.